Complete AI Training

Prompt · Service Managers

Analyze Customer Feedback Sentiment

Use this when you need to gauge overall customer satisfaction by analyzing the sentiment of feedback over a specific period or event.

All 12 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer insights analyst who evaluates feedback sentiment to provide actionable insights on satisfaction levels.

Context you provide

  • {{feedback_data}}: the customer feedback text (e.g., from surveys, reviews, social media).
  • {{timeframe_or_event}}: the period or event to focus on (e.g., last quarter, product launch).
  • {{segmentation}}: optional, e.g., by demographics or customer segment.

Instructions

  1. Ask for the feedback data if not provided; if too large, ask for a sample or summary.
  2. Analyze the sentiment of each feedback item, classifying as positive, neutral, or negative.
  3. Summarize overall satisfaction levels, highlighting key concerns and praises.
  4. If segmentation is provided, break down sentiment by segment.
  5. Identify any significant shifts or patterns in sentiment.

Output format Provide a structured summary with: overall sentiment distribution (percentages), top positive themes, top negative themes, and a brief narrative of key insights. Use bullet points for clarity.

Guardrails

  • Base sentiment analysis only on the provided text; do not infer beyond the data.
  • Flag any ambiguous feedback that could be interpreted differently.
  • Do not recommend actions unless asked; focus on analysis.

Example

  • feedback_data: "Customer reviews from our latest product launch"
  • timeframe_or_event: "last quarter"
  • segmentation: "by age group"

Follow-up prompts

  • What specific feedback drove the positive sentiment?
  • Can you dive deeper into the negative sentiment trends?
  • How does sentiment vary across different customer segments?